if (values.hasAnyNonFinite()) {
        assertWithMessage("population variance of %s", values).that(populationVariance).isNaN();
        assertWithMessage("population variance by addAll(Stats) of %s", values)
            .that(populationVarianceByAddAllStats)
            .isNaN();
      } else {
        assertWithMessage("population variance of %s", values)
            .that(populationVariance)

 * <li>success with warnings - model field + non-error model problems
 * <li>error - no model, but diagnostics
 * <li>error - (partial) model and diagnostics
 * </ol>
 * Could encode these variants as subclasses, but kept in one for now
 *
 * @param <T> the model type
 * @deprecated use {@code org.apache.maven.api.services.ModelBuilder} instead
 */
@Deprecated(since = "4.0.0")
public class Result<T> {

  // REQUIRES: "v2_reader_ != nullptr && v2_reader_.status().ok()".
  std::pair<std::unique_ptr<TensorSliceReader::VarToShapeMap>,
            std::unique_ptr<TensorSliceReader::VarToDataTypeMap> >
  BuildV2VarMaps();

  // Invariant: exactly one of "reader_" and "v2_reader_" is non-null.
  std::unique_ptr<TensorSliceReader> reader_;
  std::unique_ptr<BundleReader> v2_reader_;

  std::unique_ptr<TensorSliceReader::VarToShapeMap> var_to_shape_map_;

Auch wenn im obigen Code Pydantic nicht explizit vorkommt, verwendet FastAPI Pydantic, um diese Standard-Datenklassen in Pydantics eigene Variante von Datenklassen zu konvertieren.

Und natürlich wird das gleiche unterstützt:

* Datenvalidierung
* Datenserialisierung
* Datendokumentation, usw.

¿Te gusta **FastAPI**?

¿Te gustaría ayudar a FastAPI, a otros usuarios y al autor?

¿O te gustaría conseguir ayuda con **FastAPI**?

Hay formas muy sencillas de ayudar (varias implican solo uno o dos clics).

Y también hay varias formas de conseguir ayuda.

## Suscríbete al boletín { #subscribe-to-the-newsletter }

    when {
      value != null -> LinkedTags(key, value, this)
      else -> this
    }

  override fun <T : Any> get(key: KClass<T>): T? = null

  override fun toString() = "{}"
}

/**
 * An invariant of this implementation is that [next] must not contain a mapping for [key].
 * Otherwise, we would have two values for the same key.
 */
private class LinkedTags<K : Any>(
  private val key: KClass<K>,

            project.plugins.withType<JavaLibraryPlugin> {
                // Kotlin-only projects do not hit this, so they don't have nullaway attributes on the outgoing variants.
                // Java project can in turn depend on Kotlin projects even if they have nullaway enabled.

       * TODO: When given an ImmutableList that's a sublist, copy the referenced
       * portion of the array into a new array to save space?
       */
      @SuppressWarnings("unchecked") // all supported methods are covariant
      ImmutableCollection<E> list = (ImmutableCollection<E>) elements;
      return list.asList();
    }
    return copyFromCollection(elements);
  }

  @JsMethod

# General - Cómo Hacer - Recetas { #general-how-to-recipes }

Aquí tienes varias indicaciones hacia otros lugares en la documentación, para preguntas generales o frecuentes.

## Filtrar Datos - Seguridad { #filter-data-security }

Para asegurarte de que no devuelves más datos de los que deberías, lee la documentación para [Tutorial - Modelo de Response - Tipo de Retorno](../tutorial/response-model.md){.internal-link target=_blank}.

Pruning is activated by setting `spec.preserveUnknownFields: false` in the CustomResourceDefinition. A future apiextensions.k8s.io/v1 variant of CRDs will enforce pruning.

Pruning requires that CRD developer provides complete, structural validation schemas, either at the top-level or for all versions of the CRD.

#### CustomResourceDefinition Defaulting